Application of multiple regression analysis in the estimation of biophysical properties for some environmental pollutants

In this work the application of graph theory in mathematical chemistry is used as a recent theoretical tool to estimate biophysical properties for some groups of environmental pollutants. These groups include sulfur containing alkylating agents, nitrogen containing alkylating agents and some fine benzenoid hydrocarbons having complex structure. Some graph invariants are estimated for the studied chemical pollutants such as, nonadjacent numbers, branching index, path length and wiener index. The found correlations between the estimated graph invariants and the known biophysical properties for the studied pollutants have promising correlation factors as polynomials compared with the linear, logarithmic power or exponential types. This study provided a recent economical tool to estimate the unknown biophysical properties for some environmental pollutants

Human error in radiation safety applications

Through the national program for radiation safety in Egypt, the public response is studied. The precision of the final conclusion of radiation survey is affected by the public response. The national program for radon survey in Egypt is chosen as model for this study. Some of the factors that have influence on the collected data are: The choice of the sites, the procedure of communication with the public, their level of education and their level of awareness about the problem. All these factors affect the public response that ranges from care to carless. These factors may lead to considerable errors in the study due to loss or damage of the detector, inaccurate keeping of the position and changes in exposure period. All the above probable sources of error need a further detailed weighting evaluation to lead finally to precise radiation survey